AI Engineer (Data Science / Data Engineering)
Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 1, 2026. Capgemini scores B on the Alion truth index.
CAPGEMINI ENGINEERING
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
YOUR ROLE
We are looking for an experienced AI Engineer to join our growing AI Engineering team. This role is ideal for professionals with a background in Data Science, Machine Learning Engineering or Data Engineering, who are passionate about building and scaling AI-driven solutions in cloud environments.
You will work on the design, development, and deployment of advanced data and AI solutions, collaborating with multidisciplinary teams to transform business requirements into scalable and production-ready systems. Experience within the Telecommunications sector is highly valued, as many of our initiatives focus on large-scale data processing, customer analytics, network intelligence, and AI-powered automation.
Responsibilities
- Design, develop, and maintain scalable data and AI solutions.
- Build and optimize data pipelines supporting advanced analytics and machine learning use cases.
- Develop, train, deploy, and monitor machine learning models in production environments.
- Collaborate with data scientists, engineers, architects, and business stakeholders to deliver end-to-end solutions.
- Implement cloud-native AI and data architectures, preferably on Google Cloud Platform (GCP).
- Ensure data quality, governance, security, and performance across data platforms.
- Automate data processing, model deployment, and monitoring through CI/CD and MLOps practices.
- Contribute to the continuous improvement of AI, analytics, and data engineering best practices.
YOUR PROFILE
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Professional experience in either: Data Science / Machine Learning Engineering / Data Engineering / Big Data Engineering.
- Solid experience with SQL and data modelling concepts.
- Experience building data pipelines and data processing workflows.
- Strong programming skills in Python.
- Understanding of Machine Learning fundamentals and AI solution lifecycle.
- Knowledge of cloud platforms, preferably Google Cloud Platform (GCP).
- Strong analytical and problem-solving skills.
- Excellent communication skills and ability to work in cross-functional teams.
- Fluency in English.
WHAT YOU’LL LOVE ABOUT WORKING HERE
- Join a multicultural and inclusive team environment.
- Enjoy a supportive atmosphere promoting work life balance.
- Hybrid work.
- Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
- Access valuable training and certifications in cutting edge technologies.
- Engage in exciting national and international projects.
- Health and life insurance.
- Referral program with bonuses for talent recommendations.
- Great office locations.
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.